Neural network LSI chip with on-chip learning

A model for neural network learning and recall has been developed and implemented in digital LSI. Activation, weight, and error signals are represented by stochastic digital pulse trains. The average pulse frequency is the value of the signal. All mathematical operations are performed in parallel using simple logical operations on the signal pulses. Learning is performed on the chip. A network of these artificial neural networks rapidly learned the solution to a two-dimensional inverted pendulum-balancer control problem. Another such network solved a simple character recognition problem. >